Colin Elkin

2.2k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Colin Elkin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Social Psychology. According to data from OpenAlex, Colin Elkin has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Social Psychology. Recurrent topics in Colin Elkin's work include Indoor and Outdoor Localization Technologies (2 papers), Human-Automation Interaction and Safety (2 papers) and Online Learning and Analytics (1 paper). Colin Elkin is often cited by papers focused on Indoor and Outdoor Localization Technologies (2 papers), Human-Automation Interaction and Safety (2 papers) and Online Learning and Analytics (1 paper). Colin Elkin collaborates with scholars based in United States. Colin Elkin's co-authors include Vijay Devabhaktuni, Sidike Paheding, Nahian Siddique, Danda B. Rawat, V. Devabhaktuni, Xiaoli Yang, Quamar Niyaz, Robert H. Meyer, Ali K. Reiter and Kevin S. Xu and has published in prestigious journals such as IEEE Access, Applied Sciences and Computer Networks.

In The Last Decade

Colin Elkin

8 papers receiving 1.3k 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.

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

2021 1.1k citations Nahian Siddique, Sidike Paheding et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Colin Elkin United States	6	433	337	268	191	165	8	1.3k
Guangmin Sun China	20	406 0.9×	301 0.9×	280 1.0×	128 0.7×	85 0.5×	148	1.3k
Sidike Paheding United States	11	540 1.2×	350 1.0×	309 1.2×	212 1.1×	57 0.3×	36	1.6k
Hongjun Wang China	18	358 0.8×	217 0.6×	316 1.2×	174 0.9×	275 1.7×	92	1.5k
Michał Grochowski Poland	14	486 1.1×	342 1.0×	542 2.0×	110 0.6×	83 0.5×	36	1.7k
Şaban Öztürk Türkiye	23	537 1.2×	456 1.4×	570 2.1×	140 0.7×	153 0.9×	63	1.6k
Guokai Zhang China	21	286 0.7×	246 0.7×	266 1.0×	266 1.4×	79 0.5×	113	1.8k
Cheng Chen China	24	455 1.1×	335 1.0×	257 1.0×	225 1.2×	164 1.0×	156	1.8k
Zehua Huang China	13	991 2.3×	154 0.5×	334 1.2×	158 0.8×	203 1.2×	16	1.8k
Chih‐Cheng Hung United States	19	592 1.4×	381 1.1×	440 1.6×	144 0.8×	73 0.4×	130	1.7k

Countries citing papers authored by Colin Elkin

Since Specialization

Citations

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

Fields of papers citing papers by Colin Elkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Elkin

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Elkin. A scholar is included among the top collaborators of Colin Elkin 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 Colin Elkin. Colin Elkin 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.

Paheding, Sidike, et al.. (2021). Trends in Deep Learning for Medical Hyperspectral Image Analysis. IEEE Access. 9. 79534–79548. 55 indexed citations

2.

Siddique, Nahian, Sidike Paheding, Colin Elkin, & Vijay Devabhaktuni. (2021). U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. IEEE Access. 9. 82031–82057. 1077 indexed citations breakdown →

3.

Elkin, Colin, et al.. (2020). A Preliminary Work on Visualization-based Education Tool for High School Machine Learning Education. 1–5. 13 indexed citations

4.

Javaid, Ahmad Y., et al.. (2020). Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT). Applied Sciences. 10(23). 8390–8390. 3 indexed citations

5.

Agashe, Sudhir, et al.. (2020). Improved Prediction of Steel Hardness Through Neural Network Regression. 2013–2019. 1 indexed citations

6.

Elkin, Colin, et al.. (2018). Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. 1166–1173. 9 indexed citations

7.

Elkin, Colin, et al.. (2016). Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach. Ad Hoc Networks. 54. 30–41. 24 indexed citations

8.

Elkin, Colin, et al.. (2016). Advances on localization techniques for wireless sensor networks: A survey. Computer Networks. 110. 284–305. 125 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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