Ninad Pradhan

18 total papers · 648 total citations
13 papers, 488 citations indexed

About

Ninad Pradhan is a scholar working on Management Information Systems, Strategy and Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ninad Pradhan has authored 13 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 5 papers in Strategy and Management and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ninad Pradhan's work include Quality and Supply Management (5 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (3 papers). Ninad Pradhan is often cited by papers focused on Quality and Supply Management (5 papers), Robotic Path Planning Algorithms (3 papers) and Robotics and Sensor-Based Localization (3 papers). Ninad Pradhan collaborates with scholars based in United States, Brazil and Iran. Ninad Pradhan's co-authors include Jafar Namdar, Rupy Sawhney, Xueping Li, S. Ali Torabi, Navid Sahebjamnia, Jorge Muniz, Maneesh Kumar, Guilherme Luz Tortorella, Timothy C. Burg and Stan Birchfield and has published in prestigious journals such as International Journal of Production Research, Journal of Experimental Marine Biology and Ecology and International Journal of Quality & Reliability Management.

In The Last Decade

Ninad Pradhan

11 papers receiving 466 citations

Author Peers

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

Author Last Decade Papers Cites
Ninad Pradhan 356 295 88 25 25 13 488
Sushma Kumari 233 0.7× 142 0.5× 133 1.5× 26 1.0× 17 0.7× 21 435
Rupy Sawhney 329 0.9× 289 1.0× 99 1.1× 27 1.1× 15 0.6× 20 511
Xiaohuan Wang 178 0.5× 200 0.7× 55 0.6× 22 0.9× 22 0.9× 22 513
P.N. Ram Kumar 265 0.7× 127 0.4× 206 2.3× 19 0.8× 20 0.8× 36 497
Ali Bastas 275 0.8× 171 0.6× 61 0.7× 9 0.4× 26 1.0× 9 407
Yiyi Fan 435 1.2× 321 1.1× 27 0.3× 56 2.2× 34 1.4× 8 540
Deyan Yang 352 1.0× 198 0.7× 37 0.4× 13 0.5× 72 2.9× 23 542
Hadi Rezaei Vandchali 234 0.7× 158 0.5× 99 1.1× 23 0.9× 34 1.4× 26 491
Yuxiao Ye 324 0.9× 258 0.9× 28 0.3× 51 2.0× 51 2.0× 22 531
Bahareh Kargar 190 0.5× 121 0.4× 57 0.6× 29 1.2× 33 1.3× 9 415

Countries citing papers authored by Ninad Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Ninad Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninad Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Ninad Pradhan. A scholar is included among the top collaborators of Ninad Pradhan 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 Ninad Pradhan. Ninad Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026