Akash Raj

2.0k total citations
7 papers, 151 citations indexed

About

Akash Raj is a scholar working on Statistics and Probability, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Akash Raj has authored 7 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in Akash Raj's work include Advanced Statistical Methods and Models (3 papers), Statistical Methods in Clinical Trials (2 papers) and Image and Signal Denoising Methods (1 paper). Akash Raj is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Statistical Methods in Clinical Trials (2 papers) and Image and Signal Denoising Methods (1 paper). Akash Raj collaborates with scholars based in Netherlands, India and United States. Akash Raj's co-authors include Alexander Ly, Maarten Marsman, Quentin F. Gronau, Eric‐Jan Wagenmakers, Alexander Etz, Fabian Dablander, Erik–Jan van Kesteren, Don van den Bergh, Alexandra Sarafoglou and Angelika Marlene Stefan and has published in prestigious journals such as Advances in Methods and Practices in Psychological Science, Computational Brain & Behavior and UvA-DARE (University of Amsterdam).

In The Last Decade

Akash Raj

5 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akash Raj Netherlands	4	65	30	26	24	16	7	151
Beth Baribault United States	6	72 1.1×	19 0.6×	50 1.9×	23 1.0×	14 0.9×	7	207
Kristina Wiebels New Zealand	9	71 1.1×	9 0.3×	31 1.2×	17 0.7×	12 0.8×	14	185
Russell J. Boag Netherlands	10	143 2.2×	7 0.2×	77 3.0×	66 2.8×	13 0.8×	15	241
Yvonnick Noël France	10	80 1.2×	103 3.4×	55 2.1×	20 0.8×	26 1.6×	20	254
Jesse C. Niebaum United States	7	72 1.1×	11 0.4×	66 2.5×	23 1.0×	18 1.1×	11	209
David Ma Mehler Germany	3	48 0.7×	3 0.1×	30 1.2×	18 0.8×	8 0.5×	4	136
Nina R. Arnold Germany	10	236 3.6×	17 0.6×	137 5.3×	60 2.5×	9 0.6×	14	331
Manuel Rausch Germany	9	217 3.3×	4 0.1×	41 1.6×	35 1.5×	5 0.3×	15	278
Katherine Labonté Canada	10	194 3.0×	6 0.2×	127 4.9×	75 3.1×	15 0.9×	24	298

Countries citing papers authored by Akash Raj

Since Specialization

Citations

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

Fields of papers citing papers by Akash Raj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akash Raj

This figure shows the co-authorship network connecting the top 25 collaborators of Akash Raj. A scholar is included among the top collaborators of Akash Raj 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 Akash Raj. Akash Raj 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:

7 of 7 papers shown

1.

Raj, Akash. (2023). Image Denoising Using Python and Machine Learning. International Journal for Research in Applied Science and Engineering Technology. 11(5). 7230–7235. 1 indexed citations

2.

Gupta, Anurag, et al.. (2023). Real-Time Object Detection Using SSD MobileNet Model of Machine Learning. International Journal Of Engineering And Computer Science. 12(5). 25729–25734. 4 indexed citations

3.

Raj, Akash, et al.. (2022). A Vibrant GUI Based Data Handling Using Relational Database Framework. 1–6.

4.

Raj, Akash, et al.. (2020). Bridge Health Monitoring Using IoT. SSRN Electronic Journal. 1 indexed citations

5.

Ly, Alexander, Angelika Marlene Stefan, Johnny van Doorn, et al.. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Computational Brain & Behavior. 3(2). 153–161. 21 indexed citations

6.

Bergh, Don van den, Johnny van Doorn, Maarten Marsman, et al.. (2019). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. UvA-DARE (University of Amsterdam). 82 indexed citations

7.

Ly, Alexander, Akash Raj, Alexander Etz, et al.. (2018). Bayesian Reanalyses From Summary Statistics: A Guide for Academic Consumers. Advances in Methods and Practices in Psychological Science. 1(3). 367–374. 42 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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