Maria Muslea

487 citations
11 papers · 137 indexed · h-index 6
Topics
Semantic Web and Ontologies (4 papers)Advanced Database Systems and Queries (4 papers)Web Data Mining and Analysis (4 papers)
Partner nations
United States

In The Last Decade

Maria Muslea

11 papers receiving 121 citations

Peers

Maria Muslea
Comparison fields: 5 of 37
  • Artificial Intelligence 83
  • Information Systems 55
  • Computer Networks and Communications 38
  • Signal Processing 35
  • Molecular Biology 16
Replace Huiyong Xiao with:
Huiyong Xiao United States
Chantal Reynaud France
P. Sreenivasa Kumar India
Dimitris Bilidas Greece
Akmal B. Chaudhri United States
Nikos Bikakis Greece
Mohsen Taheriyan United States
Jussi Kurki Finland
Christiaan Fluit Netherlands
Joachim Van Herwegen Belgium
Maria Muslea relative to Huiyong Xiao United States Huiyong Xiao's profile →
Citations per field
00.5×1.5×
Huiyong Xiao · 1×
Citations per year

Countries citing papers authored by Maria Muslea

Since Specialization
Citations

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

Fields of papers citing papers by Maria Muslea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Muslea

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Interactively mapping data sources into the semantic web
11
2 26
3
Interactive Data Integration through Smart Copy & Paste
11
4
EntityBases: Compiling, Organizing and Querying Massive Entity Repositories.
2
5 3
6 5
7 42
8
The WorlInfo Assistant: Spatio-Temporal Information Integration on the Web
4
9 28
10 4
11
Techniques for Algorithm Design and Analysis: Case Study of a Greedy Algorithm.
1

About Maria Muslea

Maria Muslea is a scholar working on Information Systems and Management, Signal Processing and Information Systems, having authored 11 papers that have together received 137 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Advanced Database Systems and Queries (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Signal Processing (35 citations), Artificial Intelligence (83 citations) and Information Systems (55 citations). Maria Muslea has collaborated with scholars based in United States. Frequent co-authors include José Luis Ambite, Craig A. Knoblock, Steven Minton, Jean Oh, Jessica A. Turner, Greg Barish, Naveen Ashish, Martin Frank, William F. Klostermeyer and Zachary G. Ives. Their work appears in journals such as IEEE Intelligent Systems, Archives of Gerontology and Geriatrics and Frontiers in Neuroinformatics.

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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