Lai Ma

40 papers receiving 267 citations

Peers

Lai Ma
Comparison fields: 5 of 80
  • Statistics, Probability and Uncertainty 94
  • Information Systems and Management 48
  • Library and Information Sciences 10
  • Health Informatics 7
  • Management Science and Operations Research 41
Replace C. Sean Burns with:
C. Sean Burns United States
Fernanda Peset Spain
Raj Kumar Bhardwaj India
Adam Worrall United States
Arslan Sheikh Pakistan
Yassine Gargouri Canada
Cristóbal Urbano Spain
Sônia Elisa Caregnato Brazil
Barbara Kline Pope United States
Н. А. Мазов Russia
Lai Ma relative to C. Sean Burns United States C. Sean Burns's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lai Ma

Since Specialization
Citations

This map shows the geographic impact of Lai Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai Ma more than expected).

Fields of papers citing papers by Lai Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lai Ma. The network helps show where Lai Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Lai Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lai Ma Line = papers co-authored together Lai Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201230
2 201923
3 201918
4 201217
5 202314
6 202012
7 202012
8 202112
9 202210
10 202210
11 20169
12 20198
13 20238
14 20197
15 20137
16 20236
17 20106
18 20136
19 20216
20 20185

About Lai Ma

Lai Ma is a scholar working on Sociology and Political Science, Statistics, Probability and Uncertainty, Information Systems, Information Systems and Management and Management Science and Operations Research, having authored 42 papers that have together received 279 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Research Data Management Practices (6 papers), Misinformation and Its Impacts (5 papers), Evaluation and Performance Assessment (4 papers), Semantic Web and Ontologies (3 papers), Information Systems Theories and Implementation (3 papers), Marine and fisheries research (2 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (94 citations), Information Systems and Management (48 citations), Library and Information Sciences (10 citations), Health Informatics (7 citations) and Management Science and Operations Research (41 citations). Lai Ma has collaborated with scholars based in Ireland, United States and France. Frequent co-authors include Kalpana Shankar, Thomas Feliciani, Lydia O’Sullivan, Peter Doran, Ana Marušić, Flaminio Squazzoni, Björn Brembs, Pandelis Perakakis, Felix D. Schönbrodt and Sara Rodríguez‐Cuadrado. Their work appears in journals such as Research Evaluation, Proceedings of the American Society for Information Science and Technology, Journal of Documentation, Science and Public Policy and Journal of the Association for Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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