Tushar Kumar

921 citations
43 papers · 276 · h-index 8

Impact in

    • Endometrial and Cervical Cancer Treatments
    • COVID-19 Impact on Reproduction
    • Uterine Myomas and Treatments
    • Ovarian cancer diagnosis and treatment
    • Endometriosis Research and Treatment

Papers in

Tushar Kumar

34 papers receiving 263 citations

Peers

Tushar Kumar
Comparison fields: 5 of 52
  • Obstetrics and Gynecology 157
  • Reproductive Medicine 29
  • Hardware and Architecture 21
  • Radiation 16
  • Rehabilitation 10
Replace Michael Williams with:
Michael Williams United Kingdom
Munetoshi Akazawa Japan
Rozilawati Ahmad Malaysia
Pierre Colombo France
Edward A. Banner United States
Maxime Côté Canada
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Citations per field
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Michael Williams · 1×
Citations per year

Countries citing papers authored by Tushar Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200668
2 200562
3 201423
4 201014
5 20229
6
Opportunistic computing: a new paradigm for scalable realism on many-cores
20099
7 20099
8 20159
9 20217
10 20226
11 20076
12 20115
13 20205
14 20174
15 20044
16 20084
17 20233
18 20213
19 20223
20 20213

About Tushar Kumar

Tushar Kumar is a scholar working on Hardware and Architecture, Surgery, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Computer Networks and Communications, having authored 43 papers that have together received 276 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Real-Time Systems Scheduling (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Embedded Systems Design Techniques (4 papers), COVID-19 Impact on Reproduction (3 papers), Distributed systems and fault tolerance (3 papers), COVID-19 and healthcare impacts (3 papers) and Airway Management and Intubation Techniques (3 papers). The work is most often cited by research in Obstetrics and Gynecology (157 citations), Reproductive Medicine (29 citations), Hardware and Architecture (21 citations), Radiation (16 citations) and Rehabilitation (10 citations). Tushar Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Carlos Vargas, Shruti Jolly, Sheldon Weiner, Alvaro A. Martinez, Donald S. Brabbins, Peter Y. Chen, Peter Chen, Alvaro A. Martinez, Santosh Pande and D. Brabbins. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Gynecologic Oncology, Indian Journal of Anaesthesia, Journal of Applied Clinical Medical Physics and International Journal of Radiation Oncology*Biology*Physics.

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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