Arvind Verma

1.1k citations
56 papers · 633 · h-index 14

Impact in

Papers in

Arvind Verma

53 papers receiving 575 citations

Peers

Arvind Verma
Comparison fields: 5 of 100
  • Industrial and Manufacturing Engineering 210
  • Political Science and International Relations 157
  • Sociology and Political Science 239
  • Health 32
  • Gender Studies 36
Replace James P. Scanlan with:
James P. Scanlan United Kingdom
Tapio Salonen Finland
Tomas Berglund Sweden
David Yoon United States
Shuhe Li China
Hairong Yan China
Lijun Tang United Kingdom
Rodrigo Fernández Chile
Mário Rodrigues Portugal
Tatsuo Oyama Japan
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Citations per field
00.5×
James P. Scanlan · 1×
Citations per year

Countries citing papers authored by Arvind Verma

Since Specialization
Citations

This map shows the geographic impact of Arvind Verma'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 Arvind Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Verma more than expected).

Fields of papers citing papers by Arvind Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind Verma. 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 Arvind Verma. The network helps show where Arvind Verma may publish in the future.

Co-authors

The 22 scholars most cited alongside Arvind Verma, 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 Arvind Verma Line = papers co-authored together Arvind Verma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201094
2 202258
3 200655
4 199943
5 199833
6 200731
7 200826
8 201424
9 201617
10 200917
11 200916
12 200016
13 200416
14
Organized Crime: World Perspectives
200214
15 200812
16 202312
17 200511
18 202310
19 20159
20 19979

About Arvind Verma

Arvind Verma is a scholar working on Sociology and Political Science, Political Science and International Relations, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 56 papers that have together received 633 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (11 papers), Policing Practices and Perceptions (8 papers), Manufacturing Process and Optimization (7 papers), South Asian Studies and Conflicts (5 papers), Politics and Conflicts in Afghanistan, Pakistan, and Middle East (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Crime, Illicit Activities, and Governance (4 papers) and Gender, Security, and Conflict (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (210 citations), Political Science and International Relations (157 citations), Sociology and Political Science (239 citations), Health (32 citations) and Gender Studies (36 citations). Arvind Verma has collaborated with scholars based in United States and India. Frequent co-authors include Sunil Rajotia, Srinagesh Gavirneni, Dilip K. Das, Eli B. Silverman, Suresh K. Lodha, John Eterno, Hanif Qureshi, Jay S. Albanese, M. R.Haberfeld and Suresh Marru. Their work appears in journals such as Policing An International Journal, International Journal of Production Research, International Journal of Manufacturing Research, International Criminal Justice Review and Justice Quarterly.

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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