Ramya Tekumalla

503 citations
7 papers · 193 indexed · 1 hit paper · h-index 5
Topics
Spam and Phishing Detection (3 papers)Misinformation and Its Impacts (3 papers)Topic Modeling (2 papers)
Journals
SHILAP Revista de lepidopterologíaNeural Computing and ApplicationsGenomics & Informatics

In The Last Decade

Ramya Tekumalla

6 papers receiving 185 citations

Hit Papers

A Large-Scale COVID-19 Twitter Chatter Dataset for Open S...2021202620222024202150100150

Peers

Ramya Tekumalla
Comparison fields: 5 of 55
  • Sociology and Political Science 113
  • Artificial Intelligence 102
  • Epidemiology 37
  • Information Systems 27
  • Social Psychology 25
Replace Yuning Ding with:
Yuning Ding Germany
Ekaterina Artemova Russia
Xiaolei Huang United States
Klaifer Garcia Brazil
Regina Liu United States
Julie Jiang United States
Nitin Verma United States
Richard Sear United States
Matthew DeVerna United States
Umair Qazi Qatar
Ramya Tekumalla relative to Yuning Ding Germany Yuning Ding's profile →
Citations per field
00.5×1.5×
Yuning Ding · 1×
Citations per year

Countries citing papers authored by Ramya Tekumalla

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Tekumalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Tekumalla

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 2
3 4
4 13
5
A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaborationbreakdown →
166
6 4
7
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning
4

About Ramya Tekumalla

Ramya Tekumalla is a scholar working on Toxicology, Communication and Information Systems, having authored 7 papers that have together received 193 indexed citations. Recurring topics across this work include Spam and Phishing Detection (3 papers), Misinformation and Its Impacts (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Modeling and Simulation (24 citations), Health Informatics (5 citations) and Communication (23 citations). Ramya Tekumalla has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Juan M. Banda, Gerardo Chowell, Yuning Ding, Tuo Liu, Jingyuan Yu, Elena Tutubalina and Ekaterina Artemova. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Genomics & Informatics.

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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