Manohar N. Murthi

2.7k total citations · 3 hit papers
81 papers, 1.7k citations indexed

About

Manohar N. Murthi is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Manohar N. Murthi has authored 81 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 27 papers in Signal Processing and 23 papers in Computer Networks and Communications. Recurrent topics in Manohar N. Murthi's work include Speech and Audio Processing (23 papers), Advanced Data Compression Techniques (18 papers) and Advanced Adaptive Filtering Techniques (17 papers). Manohar N. Murthi is often cited by papers focused on Speech and Audio Processing (23 papers), Advanced Data Compression Techniques (18 papers) and Advanced Adaptive Filtering Techniques (17 papers). Manohar N. Murthi collaborates with scholars based in United States, Denmark and Belgium. Manohar N. Murthi's co-authors include Kamal Premaratne, Joseph E. Uscinski, Casey Klofstad, Adam Enders, Michelle I. Seelig, John Funchion, Bhaskar D. Rao, Søren Holdt Jensen, Stefan Wuchty and Caleb Everett and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Manohar N. Murthi

79 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Why do people believe COVID-19 conspiracy theories?

2020 283 citations Joseph E. Uscinski, Adam Enders et al. profile →
The Relationship Between Social Media Use and Beliefs in Conspiracy Theories and Misinformation

2021 157 citations Adam Enders, Joseph E. Uscinski et al. profile →
American Politics in Two Dimensions: Partisan and Ideological Identities versus Anti‐Establishment Orientations

2021 105 citations Joseph E. Uscinski, Adam Enders et al. American Journal of Political Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manohar N. Murthi United States	21	750	514	463	272	254	81	1.7k
Kamal Premaratne United States	23	741 1.0×	467 0.9×	131 0.3×	50 0.2×	250 1.0×	124	1.8k
Sharath Chandra Guntuku United States	26	549 0.7×	649 1.3×	117 0.3×	22 0.1×	125 0.5×	106	2.4k
Jouni Isoaho Finland	17	356 0.5×	190 0.4×	294 0.6×	13 0.0×	78 0.3×	127	1.7k
Nicolas Moreau Canada	17	250 0.3×	182 0.4×	347 0.7×	34 0.1×	30 0.1×	88	1.1k
Haifeng Zhang China	32	527 0.7×	325 0.6×	20 0.0×	25 0.1×	55 0.2×	128	2.9k
Richard Harvey United Kingdom	23	194 0.3×	193 0.4×	735 1.6×	36 0.1×	25 0.1×	110	2.2k
Ming Tang China	33	507 0.7×	223 0.4×	38 0.1×	9 0.0×	76 0.3×	146	3.7k
E.A. Riskin United States	25	118 0.2×	403 0.8×	770 1.7×	58 0.2×	7 0.0×	121	2.4k
Christopher M. Johnson United States	17	200 0.3×	86 0.2×	30 0.1×	19 0.1×	143 0.6×	61	1.1k
Qing Xu United States	12	142 0.2×	427 0.8×	51 0.1×	14 0.1×	48 0.2×	47	1.1k

Countries citing papers authored by Manohar N. Murthi

Since Specialization

Citations

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

Fields of papers citing papers by Manohar N. Murthi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manohar N. Murthi. 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 Manohar N. Murthi. The network helps show where Manohar N. Murthi may publish in the future.

Co-authorship network of co-authors of Manohar N. Murthi

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

20 of 20 papers shown

Klofstad, Casey, Amanda B. Diekman, Sandra Kübler, et al.. (2024). Belief in White Replacement. Politics Groups and Identities. 13(2). 387–411. 3 indexed citations

Enders, Adam, Amanda B. Diekman, Casey Klofstad, et al.. (2023). On modeling the correlates of conspiracy thinking. Scientific Reports. 13(1). 8325–8325. 20 indexed citations

Enders, Adam, Joseph E. Uscinski, Casey Klofstad, et al.. (2021). Do conspiracy beliefs form a belief system? Examining the structure and organization of conspiracy beliefs. Journal of Social and Political Psychology. 9(1). 255–271. 54 indexed citations

Uscinski, Joseph E., Adam Enders, Michelle I. Seelig, et al.. (2021). American Politics in Two Dimensions: Partisan and Ideological Identities versus Anti‐Establishment Orientations. American Journal of Political Science. 65(4). 877–895. 105 indexed citations breakdown →

Núñez, Rafael C., Manohar N. Murthi, Kamal Premaratne, Matthias Scheutz, & Otávio Bueno. (2018). Uncertain Logic Processing: logic-based inference and reasoning using Dempster–Shafer models. International Journal of Approximate Reasoning. 95. 1–21. 6 indexed citations

Premaratne, Kamal, et al.. (2016). A Framework for efficient computation of belief theoretic operations. International Conference on Information Fusion. 1570–1577. 4 indexed citations

Premaratne, Kamal, et al.. (2016). A generalization of Bayesian inference in the Dempster-Shafer belief theoretic framework. International Conference on Information Fusion. 798–804. 10 indexed citations

Premaratne, Kamal, et al.. (2016). Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence. IEEE Transactions on Signal and Information Processing over Networks. 2(3). 336–349. 12 indexed citations

Núñez, Rafael C., et al.. (2014). Dynamics of belief theoretic agent opinions under bounded confidence. International Conference on Information Fusion. 1–8. 3 indexed citations

10.

Núñez, Rafael C., Manohar N. Murthi, & Kamal Premaratne. (2014). Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion. International Conference on Information Fusion. 1–8. 5 indexed citations

11.

Núñez, Rafael C., Matthias Scheutz, Gordon Briggs, et al.. (2013). DS-based uncertain implication rules for inference and fusion applications. International Conference on Information Fusion. 1934–1941. 9 indexed citations

12.

Núñez, Rafael C., et al.. (2013). Hard and soft data fusion for joint tracking and classification/intent-detection. International Conference on Information Fusion. 661–668. 7 indexed citations

13.

Wickramarathne, Thanuka L., Kamal Premaratne, & Manohar N. Murthi. (2011). Monte-Carlo approximations for Dempster-Shafer belief theoretic algorithms. International Conference on Information Fusion. 1–8. 2 indexed citations

14.

Premaratne, Kamal, Manohar N. Murthi, Jinsong Zhang, Matthias Scheutz, & Péter Bauer. (2009). A Dempster-Shafer theoretic conditional approach to evidence updating for fusion of hard and soft data. International Conference on Information Fusion. 2122–2129. 30 indexed citations

15.

Arildsen, Thomas, et al.. (2009). On Predictive Coding for Erasure Channels Using a Kalman Framework. IEEE Transactions on Signal Processing. 57(11). 4456–4466. 4 indexed citations

16.

Chen, Mingyu, et al.. (2009). Delay-based TCP congestion avoidance: A network calculus interpretation and performance improvements. Computer Networks. 53(9). 1319–1340. 4 indexed citations

17.

Chen, Mingyu, et al.. (2008). Normalized Queueing Delay: Congestion Control Jointly Utilizing Delay and Marking. IEEE/ACM Transactions on Networking. 17(2). 618–631. 7 indexed citations

18.

Christensen, Mads Græsbøll, et al.. (2006). Evaluation of MFCC estimation techniques for music similarity. VBN Forskningsportal (Aalborg Universitet). 1–5. 12 indexed citations

19.

Murthi, Manohar N., et al.. (2006). Hidden Markov model-based packet loss concealment for voice over IP. IEEE Transactions on Audio Speech and Language Processing. 14(5). 1609–1623. 59 indexed citations

20.

Kleijn, W. Bastiaan, et al.. (2002). Identification and reconstruction of the unvoiced component in speech. 2. 1459–1463. 1 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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