Urja Pawar

456 total citations
6 papers, 281 citations indexed

About

Urja Pawar is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Urja Pawar has authored 6 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Health Information Management. Recurrent topics in Urja Pawar's work include Machine Learning in Healthcare (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and ECG Monitoring and Analysis (3 papers). Urja Pawar is often cited by papers focused on Machine Learning in Healthcare (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and ECG Monitoring and Analysis (3 papers). Urja Pawar collaborates with scholars based in Ireland, India and United Kingdom. Urja Pawar's co-authors include Saroj Kumar Pandey, Rekh Ram Janghel, Donna O’Shea, Susan Rea and Gaurav Kumar and has published in prestigious journals such as Procedia Computer Science.

In The Last Decade

Urja Pawar

5 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Urja Pawar Ireland	4	157	123	80	53	35	6	281
Talal A. A. Abdullah Malaysia	8	105 0.7×	68 0.6×	92 1.1×	39 0.7×	12 0.3×	9	268
Sherin Mary Mathews United States	5	219 1.4×	185 1.5×	109 1.4×	88 1.7×	12 0.3×	6	380
Jikuo Wang China	8	197 1.3×	100 0.8×	42 0.5×	69 1.3×	8 0.2×	10	316
Lianke Yao China	8	254 1.6×	110 0.9×	55 0.7×	104 2.0×	11 0.3×	14	414
Jagdeep Rahul India	11	237 1.5×	192 1.6×	31 0.4×	93 1.8×	4 0.1×	30	368
Ruixia Liu China	9	139 0.9×	69 0.6×	65 0.8×	67 1.3×	7 0.2×	21	271
Ali Rizwan United Kingdom	10	76 0.5×	40 0.3×	45 0.6×	88 1.7×	4 0.1×	21	362
Milton P. Ferreira Brazil	3	478 3.0×	207 1.7×	79 1.0×	117 2.2×	25 0.7×	6	585
Jéssica A. Canazart Brazil	5	495 3.2×	208 1.7×	82 1.0×	117 2.2×	25 0.7×	7	603
Zabir Al Nazi Bangladesh	8	23 0.1×	57 0.5×	102 1.3×	19 0.4×	57 1.6×	13	268

Countries citing papers authored by Urja Pawar

Since Specialization

Citations

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

Fields of papers citing papers by Urja Pawar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urja Pawar

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Pawar, Urja, et al.. (2021). Evaluating Hierarchical Medical Workflows using Feature Importance. 37. 265–270.

2.

Pawar, Urja, et al.. (2020). Explainable AI in Healthcare. 1–2. 77 indexed citations

3.

Pawar, Urja, et al.. (2020). Incorporating Explainable Artificial Intelligence (XAI) to aid Understanding of Machine Learning in the Healthcare Domain. 169–180. 12 indexed citations

4.

Pawar, Urja, et al.. (2019). Interpretable Machine Learning Models for Assisting Clinicians in the Analysis of Physiological Data.. 434–445. 2 indexed citations

5.

Kumar, Gaurav, et al.. (2019). Arrhythmia Detection in ECG Signals Using a Multilayer Perceptron Network.. 353–364. 4 indexed citations

6.

Pandey, Saroj Kumar, et al.. (2018). Classification of ECG Arrhythmia using Recurrent Neural Networks. Procedia Computer Science. 132. 1290–1297. 186 indexed citations

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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