I found that when two authors share the same name, they are incorrectly grouped together as the same author.

In the data processing, I found that if two authors have the same name, for example, Yang, Xia (University A) and Yang, Xia (University B), they are grouped as the same author, even though they are from different universities. In this case, different authors with the same name are actually distinct individuals. Could this be considered a significant issue for the project?

Here is an example dataset (These authors are different individuals but are incorrectly grouped as the same author):

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	authorID	groupID	author_name	author_order	address	university	department	postal_code	city	state	country	RP_address
429	429	4595	Yang, Xia	6	Univ Malaya, Kuala Lumpur, Malaysia.	univ malaya	NA	NA	kuala lumpur	NA	malaysia	NA
1211	1211	4595	Yang, Xia	1	Cent South Univ, Xiangya Hosp 3, Dept Pediat, 138 Tongzipo Rd, Changsha 410013, Hunan, Peoples R China.	cent south univ	xiangya hosp 3	41001	changsha	hunan	peoples r china	NA
1294	1294	4595	Yang, Xia	5	Air Force Med Ctr, Dept Anesthesiol, Beijing, Peoples R China.	air force med ctr	NA	NA	dept anesthesiol	beijing	peoples r china	NA
1505	1505	4595	Yang, Xia	6	Shenzhen Univ, Shenzhen Peoples Hosp 2, Affiliated Hosp 1, Dept Traumat Orthoped,Shenzhen Translat Med Inst, Shenzhen 518028, Peoples R China.	shenzhen univ	shenzhen peoples hosp 2	51802	shenzhen	NA	peoples r china	NA
1723	1723	4595	Yang, Xia	2	Jiangsu Univ Sci & Technol, Sch Comp, Zhenjiang 212003, Jiangsu, Peoples R China.	jiangsu univ sci & technol	sch comp	21200	zhenjiang	jiangsu	peoples r china	NA
3647	3647	4595	Yang, Xia	1	Nanjing Univ Chinese Med, Affiliated Hosp Integrated Tradit Chinese & Wester, Dept Endocrinol, Nanjing, Peoples R China.	nanjing univ chinese med	affiliated hosp integrated tradit chinese & wester	NA	dept endocrinol	nanjing	peoples r china	NA
4072	4072	4595	Yang, Xia	1	Dalian Maritime Univ, Nav Coll, Dalian, Peoples R China.	dalian maritime univ	NA	NA	nav coll	dalian	peoples r china	NA
4479	4479	4595	Yang, Xia	1	Shandong Univ, Qilu Hosp, Cheeloo Coll Med, Dept Neurosurg, Jinan, Peoples R China.	shandong univ	qilu hosp	NA	dept neurosurg	jinan	peoples r china	NA
4541	4541	4595	Yang, Xia	4	Hunan Univ Chinese Med, Coll Chinese Med, Changsha 410208, Hunan Province, Peoples R China.	hunan univ chinese med	coll chinese med	41020	changsha	hunan province	peoples r china	NA
4595	4595	4595	Yang, Xia	1	Beijing Univ Chinese Med, Grad Sch, Beijing, Peoples R China.	beijing univ chinese med	NA	NA	grad sch	beijing	peoples r china	NA

https://docs.ropensci.org/refsplitr/articles/refsplitr.html#author-address-parsing-and-name-disambiguation

Once we have our subset of possible similar entries, we match the existing info of row 1 against the subset. The entry only needs to match one extra piece of information - either address, email, or middle name. If it matches we assume it is the same person, and change the groupID numbers to reflect this.

Start with the linked refsplitr documentation section on author-address parsing and name disambiguation, then reproduce the issue using the supplied Yang, Xia records. Trace how matching inputs are assigned groupID values. Done means authors with distinct affiliations in this example are not grouped as one person, while valid matches continue to group correctly.