Gowtham Atluri

2.9k citations
35 papers · 1.7k indexed · 2 hit papers · h-index 15
Topics
Functional Brain Connectivity Studies (10 papers)Data Mining Algorithms and Applications (8 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
United StatesChinaCanada

In The Last Decade

Gowtham Atluri

30 papers receiving 1.6k citations

Hit Papers

Theory-Guided Data Science: A New Paradigm for Scientific...201720262020202320172018250500750

Peers

Gowtham Atluri
Comparison fields: 5 of 162
  • Artificial Intelligence 310
  • Molecular Biology 192
  • Environmental Engineering 187
  • Cognitive Neuroscience 168
  • Global and Planetary Change 158
Replace David N. Reshef with:
David N. Reshef United States
Xiaowei Jia United States
Dian Zhang China
Lianyang Ma China
Yong Zhou China
Fan Liu China
Esa Alhoniemi Finland
Steven Reece United Kingdom
Wenjie Yang China
Martin F. Møller Denmark
Gowtham Atluri relative to David N. Reshef United States David N. Reshef's profile →
Citations per field
00.5×1.5×
David N. Reshef · 1×
Citations per year

Countries citing papers authored by Gowtham Atluri

Since Specialization
Citations

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

Fields of papers citing papers by Gowtham Atluri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gowtham Atluri

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 12
4 17
5 16
6 4
7 2
8 3
9 40
10 8
11 18
12 5
13
Theory-guided Data Science: A New Paradigm for Scientific Discovery.
10
14 19
15 0
16 43
17 51
18 20
19 52
20 45

About Gowtham Atluri

Gowtham Atluri is a scholar working on Signal Processing, Cognitive Neuroscience and Information Systems, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Data Mining Algorithms and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Transportation (99 citations), Signal Processing (156 citations) and Environmental Engineering (187 citations). Gowtham Atluri has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Vipin Kumar, Anuj Karpatne, Michael Steinbach, Shashi Shekhar, Auroop R. Ganguly, Arindam Banerjee, James H. Faghmous, Kelvin O. Lim, Angus W. MacDonald and Krista Wisner. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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