Tushar Kumar

621 citations
38 papers · 255 · h-index 8

Impact in

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

Papers in

Tushar Kumar

31 papers receiving 245 citations

Peers

Tushar Kumar
Comparison fields: 5 of 62
  • Obstetrics and Gynecology 160
  • Reproductive Medicine 99
  • Radiation 22
  • Hardware and Architecture 15
  • Rehabilitation 10
Replace Elena Zannoni with:
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Munetoshi Akazawa Japan
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Edward A. Banner United States
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Citations per field
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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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 200560
3 201422
4 201014
5 20099
6 20159
7 20229
8
Opportunistic computing: a new paradigm for scalable realism on many-cores
20098
9 20217
10 20226
11 20115
12 20205
13 20174
14 20074
15 20044
16 20242
17 20212
18
Swarm Intelligence Based Tuning of Unscented Kalman Filter for Bearings Only Tracking
20132
19 20222
20 20212

About Tushar Kumar

Tushar Kumar is a scholar working on Surgery, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Hardware and Architecture, having authored 38 papers that have together received 255 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Anesthesia and Pain Management (4 papers), Airway Management and Intubation Techniques (3 papers), Tracheal and airway disorders (3 papers), Real-Time Systems Scheduling (3 papers), Anesthesia and Sedative Agents (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Obstetrics and Gynecology (160 citations), Reproductive Medicine (99 citations), Radiation (22 citations), Hardware and Architecture (15 citations) and Rehabilitation (10 citations). Tushar Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Carlos Vargas, Sheldon Weiner, Shruti Jolly, Donald S. Brabbins, Alvaro A. Martinez, Peter Y. Chen, Alvaro A. Martinez, D. Brabbins, Peter Chen and Santosh Pande. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Gynecologic Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics and Indian Journal of Anaesthesia.

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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