Rajkumar Ramamurthy

1.0k total citations · 1 hit paper
13 papers, 537 citations indexed

About

Rajkumar Ramamurthy is a scholar working on Artificial Intelligence, Information Systems and Political Science and International Relations. According to data from OpenAlex, Rajkumar Ramamurthy has authored 13 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Political Science and International Relations. Recurrent topics in Rajkumar Ramamurthy's work include Advanced Text Analysis Techniques (4 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). Rajkumar Ramamurthy is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). Rajkumar Ramamurthy collaborates with scholars based in Germany. Rajkumar Ramamurthy's co-authors include Christian Bauckhage, Sven Giesselbach, Sebastian Mayer, Birgit Kirsch, Katharina Beckh, Raoul Heese, Jannis Schuecker, Michał Walczak, Laura von Rueden and Bogdan Georgiev and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, International Journal of Data Science and Analytics and KI - Künstliche Intelligenz.

In The Last Decade

Rajkumar Ramamurthy

12 papers receiving 514 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.

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

2021 469 citations Laura von Rueden, Sebastian Mayer et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rajkumar Ramamurthy Germany	5	231	68	57	50	44	13	537
Raoul Heese Germany	7	239 1.0×	94 1.4×	63 1.1×	57 1.1×	49 1.1×	20	589
Birgit Kirsch Germany	2	183 0.8×	68 1.0×	56 1.0×	50 1.0×	49 1.1×	3	519
Katharina Beckh Germany	4	188 0.8×	70 1.0×	56 1.0×	51 1.0×	44 1.0×	8	493
Laura von Rueden Germany	3	187 0.8×	70 1.0×	57 1.0×	51 1.0×	45 1.0×	5	485
Bogdan Georgiev Germany	2	186 0.8×	69 1.0×	58 1.0×	50 1.0×	46 1.0×	8	483
Sven Giesselbach Germany	5	201 0.9×	70 1.0×	57 1.0×	55 1.1×	46 1.0×	10	544
Jannis Schuecker Germany	5	189 0.8×	69 1.0×	80 1.4×	50 1.0×	75 1.7×	7	548
Sebastian Mayer Germany	9	190 0.8×	73 1.1×	88 1.5×	83 1.7×	47 1.1×	23	677
Anna Kruspe Germany	10	299 1.3×	72 1.1×	44 0.8×	26 0.5×	29 0.7×	27	694

Countries citing papers authored by Rajkumar Ramamurthy

Since Specialization

Citations

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

Fields of papers citing papers by Rajkumar Ramamurthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajkumar Ramamurthy

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

All Works

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13 of 13 papers shown

Ramamurthy, Rajkumar, et al.. (2022). Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1637–1642. 3 indexed citations

Ramamurthy, Rajkumar, et al.. (2022). Utilizing Representation Learning for Robust Text Classification Under Datasetshift. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 157–162. 2 indexed citations

Ramamurthy, Rajkumar, et al.. (2022). Bounding open space risk with decoupling autoencoders in open set recognition. International Journal of Data Science and Analytics. 14(4). 351–373. 2 indexed citations

Ramamurthy, Rajkumar, et al.. (2021). Decoupling Autoencoders for Robust One-vs-Rest Classification. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–10. 3 indexed citations

Sifa, Rafet, et al.. (2021). Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6696–6701. 7 indexed citations

Ramamurthy, Rajkumar, et al.. (2021). Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 227–232. 3 indexed citations

Ramamurthy, Rajkumar, et al.. (2021). Anonymization of German financial documents using neural network-based language models with contextual word representations. International Journal of Data Science and Analytics. 13(2). 151–161. 23 indexed citations

Ramamurthy, Rajkumar, et al.. (2021). Automatic Indexing of Financial Documents via Information Extraction. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–5. 2 indexed citations

Rueden, Laura von, Sebastian Mayer, Katharina Beckh, et al.. (2021). Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Transactions on Knowledge and Data Engineering. 1–1. 469 indexed citations breakdown →

10.

Ramamurthy, Rajkumar, et al.. (2021). ALiBERT. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 10 indexed citations

11.

Ramamurthy, Rajkumar, et al.. (2020). Novelty-Guided Reinforcement Learning via Encoded Behaviors. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 550. 1–8.

12.

Sifa, Rafet, et al.. (2019). Towards Contradiction Detection in German: a Translation-Driven Approach. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2497–2505. 9 indexed citations

13.

Sifa, Rafet, et al.. (2019). Matrix- and Tensor Factorization for Game Content Recommendation. KI - Künstliche Intelligenz. 34(1). 57–67. 4 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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