Pratima Verma

1.3k citations
59 papers · 870 indexed · h-index 19

Impact in

Papers in

Pratima Verma

56 papers receiving 811 citations

Peers

Pratima Verma
Comparison fields: 5 of 77
  • Management Information Systems 309
  • Strategy and Management 441
  • Business and International Management 53
  • Industrial and Manufacturing Engineering 173
  • Management of Technology and Innovation 103
Replace Divesh Ojha with:
Divesh Ojha United States
Jeong Hugh Han South Korea
Najam Ul Zia United Kingdom
Ayman Wael Al‐Khatib Jordan
Terence Saldanha United States
Ching‐Chiao Yang Taiwan
Ying Liao United States
Alberto Mazzoleni Italy
Aylin Ates United Kingdom
Leanne Chung United Kingdom
Pratima Verma relative to Divesh Ojha United States Divesh Ojha's profile →
Citations per field
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Divesh Ojha · 1×
Citations per year

Countries citing papers authored by Pratima Verma

Since Specialization
Citations

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

Fields of papers citing papers by Pratima Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pratima 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 Pratima Verma Line = papers co-authored together Pratima Verma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20246
4 20242
5 20248
6 202311
7 202314
8 202325
9 202318
10 20231
11 202328
12 202336
13 202239
14 202219
15 20204
16 202043
17 20181
18 201840
19 20161
20 201621

About Pratima Verma

Pratima Verma is a scholar working on Management Information Systems, Strategy and Management, Business and International Management, Management of Technology and Innovation and Industrial and Manufacturing Engineering, having authored 59 papers that have together received 870 indexed citations. Recurring topics across this work include Quality and Supply Management (15 papers), Sustainable Supply Chain Management (10 papers), Supply Chain Resilience and Risk Management (10 papers), Innovation and Knowledge Management (9 papers), Digital Transformation in Industry (8 papers), COVID-19 Pandemic Impacts (6 papers), Entrepreneurship Studies and Influences (4 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Management Information Systems (309 citations), Strategy and Management (441 citations), Business and International Management (53 citations), Industrial and Manufacturing Engineering (173 citations) and Management of Technology and Innovation (103 citations). Pratima Verma has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include Vimal Kumar, Ankesh Mittal, Ruchi Sharma, Nagendra Kumar Sharma, Tuğrul Daim, Sumanjeet Singh, Ajay Jha, Arpit Singh, Rohit Raj and Kuei‐Kuei Lai. Their work appears in journals such as Benchmarking An International Journal, The TQM Journal, International Journal of Industrial and Systems Engineering, Business Strategy & Development and International Journal of Productivity and Quality Management.

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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