Manoj Kumar Jha

25 total papers · 784 total citations
22 papers, 591 citations indexed

About

Manoj Kumar Jha is a scholar working on Information Systems and Management, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Manoj Kumar Jha has authored 22 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems and Management, 7 papers in Artificial Intelligence and 5 papers in Management Information Systems. Recurrent topics in Manoj Kumar Jha's work include Technology Adoption and User Behaviour (9 papers), Organizational and Employee Performance (7 papers) and Blockchain Technology Applications and Security (4 papers). Manoj Kumar Jha is often cited by papers focused on Technology Adoption and User Behaviour (9 papers), Organizational and Employee Performance (7 papers) and Blockchain Technology Applications and Security (4 papers). Manoj Kumar Jha collaborates with scholars based in India, Finland and Thailand. Manoj Kumar Jha's co-authors include Rakesh D. Raut, Pragati Priyadarshinee, Bhaskar B. Gardas, Sachin Kamble, Huynh Trung Luong, Balkrishna E. Narkhede, Manoj Govind Kharat, Sanjeev Verma, Sumi Jha and K. Ganesh and has published in prestigious journals such as Computers in Human Behavior, Technological Forecasting and Social Change and Benchmarking An International Journal.

In The Last Decade

Manoj Kumar Jha

20 papers receiving 561 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Manoj Kumar Jha	197	170	149	143	107	22	591
Ashis K. Pani	136 0.7×	149 0.9×	139 0.9×	83 0.6×	66 0.6×	25	556
Vlad Krotov	108 0.5×	228 1.3×	124 0.8×	143 1.0×	65 0.6×	29	577
Yazn Alshamaila	346 1.8×	175 1.0×	114 0.8×	209 1.5×	123 1.1×	13	614
Hong-Mei Chen	126 0.6×	279 1.6×	91 0.6×	220 1.5×	82 0.8×	36	669
Abul Khayer	235 1.2×	123 0.7×	101 0.7×	153 1.1×	97 0.9×	14	507
Trevor Clohessy	156 0.8×	157 0.9×	150 1.0×	365 2.6×	86 0.8×	28	638
Mohammad I. Merhi	168 0.9×	154 0.9×	111 0.7×	133 0.9×	53 0.5×	41	690
Angela Lin	225 1.1×	175 1.0×	100 0.7×	212 1.5×	84 0.8×	27	648
Bill Karakostas	116 0.6×	149 0.9×	70 0.5×	135 0.9×	82 0.8×	48	535
Catherine Marinagi	77 0.4×	164 1.0×	131 0.9×	133 0.9×	43 0.4×	27	539

Countries citing papers authored by Manoj Kumar Jha

Since Specialization

Citations

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

Fields of papers citing papers by Manoj Kumar Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manoj Kumar Jha. 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 Manoj Kumar Jha. The network helps show where Manoj Kumar Jha may publish in the future.

Co-authorship network of co-authors of Manoj Kumar Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Kumar Jha. A scholar is included among the top collaborators of Manoj Kumar Jha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manoj Kumar Jha. Manoj Kumar Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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