Michael Lass

9 papers and 50 indexed citations i.

About

Michael Lass is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Lass has authored 9 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hardware and Architecture, 4 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Lass’s work include Parallel Computing and Optimization Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Material Dynamics and Properties (1 paper). Michael Lass is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Material Dynamics and Properties (1 paper). Michael Lass collaborates with scholars based in Germany, Spain and Philippines. Michael Lass's co-authors include Christian Plessl, Thomas D. Kühne, Eun‐Jae Park, Alfio Borzı̀, Hossam Elgabarty, Robert R. Schade, Jürg Hutter, Alfio Lazzaro, Hans Pabst and Stephan Mohr and has published in prestigious journals such as Journal of Optimization Theory and Applications, Entropy and Parallel Computing.

In The Last Decade

Co-authorship network of co-authors of Michael Lass i

Fields of papers citing papers by Michael Lass

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Michael Lass. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Lass may publish in the future.

Countries citing papers authored by Michael Lass

Since Specialization
Citations

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

Rankless by CCL
2025