Suresh Manandhar

89 papers receiving 4.0k citations

Hit Papers

SemEval-2014 Task 4: Aspect Based Sentiment Analysis20142026201820222014201620152505007501000

Peers

Suresh Manandhar
Comparison fields: 5 of 78
  • Artificial Intelligence 4.1k
  • Information Systems 544
  • Molecular Biology 275
  • Sociology and Political Science 149
  • Computer Vision and Pattern Recognition 147
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Citations per year

Countries citing papers authored by Suresh Manandhar

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Manandhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Manandhar

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Manandhar. A scholar is included among the top collaborators of Suresh Manandhar 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 Suresh Manandhar. Suresh Manandhar 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 13
2 69
3 152
4
SemEval-2014 Task 4: Aspect Based Sentiment Analysisbreakdown →
1173
5 12
6
An Agglomerative Hierarchical Clustering Algorithm for Labelling Morphs
1
7
Probabilistic Hierarchical Clustering of Morphological Paradigms
6
8
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
5
9
Dynamic and Static Prototype Vectors for Semantic Composition
31
10
Improving Question Recommendation by Exploiting Information Need
23
11
Estimating Linear Models for Compositional Distributional Semantics
85
12
Taxonomy Learning Using Word Sense Induction
9
13
Word Sense Induction & Disambiguation Using Hierarchical Random Graphs
20
14
Can Recognising Multiword Expressions Improve Shallow Parsing
15
15
Bilingual lexicon extraction from comparable corpora using in-domain terms
18
16
Unsupervised Learning of Morphology by Using Syntactic Categories
6
17
Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
126
18
Persuasive Argumentation in Human Computer Dialogue.
3
19
Improving an Ontology Refinement Method with Hyponymy Patterns
17
20 5

About Suresh Manandhar

Suresh Manandhar is a scholar working on Artificial Intelligence, Computer Science Applications and Health Informatics, having authored 90 papers that have together received 4.2k indexed citations. Recurring topics across this work include Topic Modeling (63 papers), Natural Language Processing Techniques (61 papers) and Speech and dialogue systems (26 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Information Systems (544 citations) and Computer Science Applications (85 citations). Suresh Manandhar has collaborated with scholars based in United Kingdom, Spain and Türkiye. Frequent co-authors include Maria Pontiki, Ion Androutsopoulos, Dimitrios Galanis, Harris Papageorgiou, John Pavlopoulos, Haris Papageorgiou, Silvia Quarteroni, Ioannis P. Klapaftis, Sameer Pradhan and Enrique Alfonseca. Their work appears in journals such as Bioinformatics, Machine Learning and Knowledge-Based Systems.

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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