Davinder Kaur

903 total citations · 1 hit paper
8 papers, 401 citations indexed

About

Davinder Kaur is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Davinder Kaur has authored 8 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Davinder Kaur's work include Network Security and Intrusion Detection (3 papers), IoT and Edge/Fog Computing (2 papers) and Complex Network Analysis Techniques (2 papers). Davinder Kaur is often cited by papers focused on Network Security and Intrusion Detection (3 papers), IoT and Edge/Fog Computing (2 papers) and Complex Network Analysis Techniques (2 papers). Davinder Kaur collaborates with scholars based in United States, Albania and India. Davinder Kaur's co-authors include Süleyman Uslu, Arjan Durresi, Mimoza Durrësi, Jenna H. Tilt, Meghna Babbar‐Sebens, Abhay Chaturvedi and L. Natrayan and has published in prestigious journals such as Sensors, ACM Computing Surveys and Knowledge-Based Systems.

In The Last Decade

Davinder Kaur

6 papers receiving 384 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trustworthy Artificial Intelligence: A Review

2022 345 citations Davinder Kaur, Süleyman Uslu et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davinder Kaur United States	5	183	104	76	57	29	8	401
Süleyman Uslu United States	7	196 1.1×	104 1.0×	76 1.0×	67 1.2×	45 1.6×	10	439
Lopamudra Praharaj United States	5	160 0.9×	53 0.5×	75 1.0×	114 2.0×	66 2.3×	8	371
James Schaffer United States	10	231 1.3×	75 0.7×	35 0.5×	136 2.4×	15 0.5×	16	406
Kshitiz Aryal United States	4	177 1.0×	52 0.5×	75 1.0×	121 2.1×	76 2.6×	9	387
José Bobes-Bascarán Spain	4	155 0.8×	36 0.3×	60 0.8×	21 0.4×	11 0.4×	7	383
Mark Campbell United States	8	126 0.7×	28 0.3×	43 0.6×	88 1.5×	52 1.8×	26	332
Ronan Hamon France	9	151 0.8×	78 0.8×	48 0.6×	30 0.5×	18 0.6×	21	376
Josephina Antoniou Cyprus	11	77 0.4×	109 1.0×	60 0.8×	35 0.6×	151 5.2×	40	402
Faiz Abdullah Alotaibi Saudi Arabia	9	138 0.8×	14 0.1×	53 0.7×	39 0.7×	58 2.0×	38	364
Yejin Bang Hong Kong	5	291 1.6×	17 0.2×	80 1.1×	59 1.0×	8 0.3×	11	468

Countries citing papers authored by Davinder Kaur

Since Specialization

Citations

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

Fields of papers citing papers by Davinder Kaur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davinder Kaur

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

All Works

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8 of 8 papers shown

1.

Uslu, Süleyman, et al.. (2024). A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food–Energy–Water Nexus: A Control-Theoretical Approach. ACM Transactions on Intelligent Systems and Technology. 16(1). 1–29. 1 indexed citations

2.

Chaturvedi, Abhay, et al.. (2024). Adaptive Defense Mechanisms Against Zero-Day Attacks in Wireless Sensor Networks. 1–7.

3.

Kaur, Davinder, Süleyman Uslu, Mimoza Durrësi, & Arjan Durresi. (2023). Artificial intelligence control for trust‐based detection of attackers in 5G social networks. Computational Intelligence. 40(1).

4.

Kaur, Davinder, Süleyman Uslu, Mimoza Durrësi, & Arjan Durresi. (2022). A geo-location and trust-based framework with community detection algorithms to filter attackers in 5G social networks. Wireless Networks. 30(6). 4841–4849. 8 indexed citations

5.

Kaur, Davinder, et al.. (2022). Trustworthy Artificial Intelligence: A Review. ACM Computing Surveys. 55(2). 1–38. 345 indexed citations breakdown →

6.

Uslu, Süleyman, Davinder Kaur, Mimoza Durrësi, & Arjan Durresi. (2022). Trustability for Resilient Internet of Things Services on 5G Multiple Access Edge Cloud Computing. Sensors. 22(24). 9905–9905. 6 indexed citations

7.

Uslu, Süleyman, et al.. (2020). A Trustworthy Human–Machine framework for collective decision making in Food–Energy–Water management: The role of trust sensitivity. Knowledge-Based Systems. 213. 106683–106683. 12 indexed citations

8.

Kaur, Davinder, Süleyman Uslu, & Arjan Durresi. (2020). Requirements for Trustworthy Artificial Intelligence – A Review. Advances in intelligent systems and computing. 105–115. 29 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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